AI/ML Engineer – Agentic Workflows

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Jalasoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

☁️ SaaS

📚 Education

Software Development • SaaS • Education

Jalasoft is a global nearshore software development company with a strong presence across 70 cities in 13 countries. With a team of over 1000 South American-based software engineers, Jalasoft specializes in software development, quality assurance (QA), and DevOps solutions. The company focuses on staff augmentation and dedicated teams tailored to meet client needs, ensuring quality and efficiency in project delivery. Jalasoft places a strong emphasis on security, holding an ISO 27001 certification, and partners with leading technology firms like Palo Alto, NVIDIA, and Cisco to offer reliable network and data center management. In addition, Jalasoft operates Jala University, offering educational programs in technology to foster and recruit top tech talent. The company aims to drive digital transformation by providing agile, culturally aligned nearshore software solutions.

📋 Description

• Design and build the foundational AI layers for broader engineering organization • Implement prompt frameworks and enforce deterministic structured outputs • Deploy production-grade Human-in-the-Loop state automations • Turn raw context into reliable, zero-hallucination agent-based actions

🎯 Requirements

• Overall Experience: 7+ years in Backend Software Engineering and AI/ML Application Engineering • Agentic Architecture: 2+ years engineering multi-step LLM workflows, autonomous agent loops, and multi-agent orchestration frameworks in production • Developer Platform Enablement: experience building internal SDKs, tools, or structured pipeline abstractions used by other product engineering teams to ship AI features rapidly • Proficiency in Multi-Step Agentic Workflows & Tooling • Proficiency in Advanced Amazon Bedrock & Prompt Engineering • Proficiency in Structured Output Pipelines & Performance Ingestion • Proficiency in State Management, Automation Consistency & HITL • Production fluency in Python • Proficiency in TypeScript/Node.js for Vercel AI SDK and AWS edge workers • Vercel AI SDK, LangGraph, or LlamaIndex for agentic orchestration • Reliable tool-calling (function-calling) interfaces for LLM-driven internal system navigation • Short-term and long-term agent memory architectures with ultra-low-latency in-memory stores (Amazon MemoryDB / Redis OSS / Valkey) • Amazon Bedrock APIs (foundational model invocation and chaining for agent loops) • Programmatic prompt optimization, few-shot prompting, dynamic context injection, and prompt caching • Amazon Bedrock Guardrails (safety gating, prompt injection mitigation, PII redaction) • Type-safe schema enforcement with Pydantic (Python) or Zod (TypeScript) • Ingestion workers consuming Amazon MSK (Kafka), SQS, and log sources • Optimistic Concurrency Control (OCC) and async write-delegation to prevent PostgreSQL deadlocks • Deterministic multi-step pipelines with AWS Step Functions or LangGraph • Durable HITL workflows (pause prior to DB writes or API transactions, persist state, resume on approval) • Idempotent execution layers for safe agent loop retries without record duplication • Working knowledge of C# (.NET Core) or Java for enterprise pipeline integrations.

🏖️ Benefits

• Remote work. • 13 floating holiday. • 15 vacation days per year completed. • Good working environment.